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Data & Analytics Specialist

Dodano: Ponad miesiąc temu

Podstawowe informacje

Typ: Analytics
Poziom: senior

formalności

Typ umowy: Umowa o pracę

projekty

Typ projektów:własny produkt
Wykorzystywane technologie/narzędzia:
Główne: Microsoft SQL Server, Power BI, SQL Server

praca

Elastyczne godziny pracy: Tak

Wymagane technologie /narzędzia

Oczekiwane:
Microsoft SQL Server
Power BI
SQL Server

inne wymagania

Doświadczenie: 5+
Język obcy: angielski
Poziom:
Zastosowanie: czytanie dokumentacji, kontakt z klientem, zespół międzynarodowy

Benefity dla pracowników

Zdrowie
  • Private medical health
  • Life and health insurance policy
  • Additional recovery days
Aktywność fizyczna
  • Multisport
  • UBS sport clubs (football, basketball, tennis, Go-karts, shooting, racket sports and more)
Well-being
  • Various well-being sessions
  • Free premium access to a mindfulness platform
  • Integration events
Organizacja czasu i miejsca pracy
  • Hybrid ways of working
  • Equal pay for equal work with no gender salary gap
  • Work permit support for foreign applicants
  • Contract of employment with no probation period
  • Modern eco-friendly offices in well-communicated city centers
Budżet rozwojowy
  • Internal and external trainings & tech conferences
  • UBS development programs dedicated for engineers
  • Learning platforms
Dodatkowe benefity
  • Access to the benefit cafeteria platform
  • Referral program with attractive bonus award
  • Additional volunteering days
  • Employee Stock Purchase Program
  • Social fund
  • Kudos recognition program
Your role:
Are you passionate about data and its quality? Do you enjoy problem solving in elegant ways? Do you enjoy the challenge of not only identifying problems, but diving deeper to understand what causes them? Do you question things that don’t look right? Do you enjoy working with stakeholder across all divisions and management levels?
In this role you will:

• Analyse large datasets for integrity, accuracy, and quality across the IT Asset Inventory Management (ITAIM) product family
• Leverage statistical tools, programming languages, and visualization tools and apply advanced analytical methods such as machine learning and artificial intelligence
• Drive data quality assurance for UBS’s Configuration Management Database (CMD), incl. managing data quality rules
• Monitor data across the product family for any errors, ensuring they’re corrected where needed
• Manage and being an advocate for the ITAIM data model
• Create and manage reports and dashboards consisting of data analysis and data visualizations
• Understand, represent, and advocate for client/user data needs for the ITAIM product family
• Establish relationships with stakeholders to understand the specific operational and analytical needs of the organization, provide advice on advanced analytical approaches for addressing these needs, and identify and capture the required data sources

Your Team: You will be part of the IT Asset Inventory Management (ITAIM) team working closely with specialists across IT divisions, Infrastructure, Technology Operations Center and other Group Technology functions. ITAIM is a foundational building block at the heart of UBS's Technology – facilitating all processes from strategy capture, to IT portfolio management - all the way to managing configuration items.
ITAIM is a global team with representation in Switzerland, UK, Poland, India, and US. Your expertise: • 5+ years of experience in data engineering and data modelling using tools like Enterprise Architect
• 5+ years in data analysis, defining queries, and visualizing results using data sources like databases (SQL Server, CosmosDB, etc.), flat files, etc. using tools like PowerBI or SQL Server Management Studio
• experience in ServiceNow and the Common Service Data Model (CSDM)
• a track record of developing trust relationships and buy-in across organisational boundaries
• a strong thinker that sees problems around the corner and takes ownership to resolve them
• an excellent communicator who is adept in communicating with both technical and non-technical audiences
• comfortable with working in cross-functional global teams to effect change

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